Robotic radical cystectomy with intracorporeal neobladder: Initial experience and outcomes
Bibliographic record
Abstract
INTRODUCTION: Total intra-corporeal robot-assisted radical cystectomy (RARC) with total intracorporeal neobladder formation is relatively new in the treatment of bladder cancer. We present our experience and believe it is the first Canadian reported series with this technique. METHODS: This is a case series of 4 patients, who underwent total RARC, pelvic lymphadenectomy and creation of an intra-corporeal ileal neobladder. Surgical technique is described and perioperative variables, pathologic data, and complication rates are reported. RESULTS: The mean patient age was 61.8 and the mean body mass index was 27.01 kg/m(2). The mean operative time, estimated blood loss, time to full diet and length of stay were 522.8 minutes (standard deviation [SD] 74.5), 237.5 mL (SD 47.9), 9 days (range: 3-24) and 12.8 days (range: 6-31), respectively. All patients completed postoperative functional evaluation showing a mean neobladder capacity of 575 cc (range: 500-720). Surgical margins and pathological nodal status were negative in all patients with no evidence of disease recurrence or progression on follow-up. Three of the 4 patients suffered a complication within 90 days, with one occurring later in the first year. All early complications were Clavien grade I-II (grade I [n = 1]; grade II [n = 2]) and the later complication was grade IIIa. The mean follow-up was 632 days (range: 562-730). The limitation of our study is its small sample size with highly selected patients to compensate for the learning experience. The follow-up is short; however, the outcomes are comparable to early experiences reported at other institutions. CONCLUSIONS: In our initial experience, RARC with total intracorporeal neobladder formation is safe. We expect that with experience the expense of robotic surgery can be compensated with early ambulation and shorter stay.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".